Animal Bioscience

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Somatic cell score: gene polymorphisms and other effects in Holstein and Simmental cows

  • Citek, Jindrich (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Brzakova, Michaela (Department Genetic and Animal Breeding, Institute of Animal Science) ;
  • Hanusova, Lenka (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Hanus, Oto (Dairy Research Institute) ;
  • Vecerek, Libor (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Samkova, Eva (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Jozova, Eva (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Hostickova, Irena (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Travnicek, Jan (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Klojda, Martin (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice) ;
  • Hasonova, Lucie (Faculty of Agriculture, South Bohemia University, CZ37005 Ceske Budejovice)
  • Received : 2020.10.14
  • Accepted : 2021.04.02
  • Published : 2022.01.01
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Abstract

Objective: The aim of the study was to evaluate the influence of gene polymorphisms and nongenetic factors on the somatic cell score (SCS) in the milk of Holstein (n = 148) and Simmental (n = 73) cows and their crosses (n = 6). Methods: The SCS was calculated by the formula SCS = log2(SCC/100,000)+3, where SCC is the somatic cell count. Polymorphisms in the casein alpha S1 (CSN1S1), beta-casein (CSN2), kappa-casein (CSN3), beta-lactoglobulin (LGB), acyl-CoA diacylglycerol transferase 1 (DGAT1), leptin (LEP), fatty acid synthase (FASN), stearoyl CoA desaturase 1 (SCD1), and 1-acylglycerol-3-phosphate O-acyltransferase 6 (AGPAT6) genes were genotyped, and association analysis to the SCS in the cow's milk was performed. Further, the impact of breed, farm, year, month of the year, lactation stage and parity on the SCS were analysed. Phenotype correlations among SCS and milk constituents were computed by Pearson correlation coefficients. Results: Only CSN2 genotypes A1/A2 were found to have significant association with the SCS (p<0.05), and alleles of CSN1S1 and DGAT1 genes (p<0.05). Other polymorphisms were not found to be significant. SCS had significant association with the combined effect of farm and year, lactation stage and month of the year. Lactation parity and breed had not significant association with SCS. The phenotypic correlation of SCS to lactose content was negative and significant, while the correlation to protein content was positive and significant. The correlations of SCS to fat, casein, nonfat solids, urea, citric acid, acetone and ketones contents were very low and not significant. Conclusion: Only CSN2 genotypes, CSN1S1 and DGAT1 alleles did show an obvious association to the SCS. The results confirmed the importance of general quality management of farms on the microbial milk quality, and effects of lactation stage and month of the year. The lactose content in milk reflects the health status of the udder.

Keywords

Acknowledgement

This research was supported by the Czech Ministry of Agriculture, project MZe NAZV KUS QJ1510336, MZe-RO0719 and by the Grant Agency of the University of South Bohemia, project No. 028/2019/Z.

References

  1. Halasa T, Huijps K, Osterds O, Hovegeen H. Economic effects of bovine mastitis and mastitis management: a review. Vet Q 2007;29:18-31. https://doi.org/10.1080/01652176.2007.9695224
  2. Kvapilik J, Hanus O, Roubal P, et al. Somatic cells in bulk samples and purchase prices of cow milk. Acta Univ Agric Silvic Mendel Brun 2017;65:879-92. https://doi.org/10.11118/actaun201765030879
  3. Kvapilik J, Hanus O, Barton L, Klimesova MV, Roubal P. Mastitis of dairy cows and financial losses: an economic meta-analysis and model calculation. Bulg J Agric Sci 2015;21:1092-105.
  4. Kvapilik J, Hanus O, Syrucek J, Vyletelova Klimesova M, Roubal P. The economic importance of the losses of cow milk due to mastitis: a meta-analysis. Bulg J Agric Sci 2014;20:1501-15.
  5. Kasna E, Zavadilova L, Stipkova M. Genetic evaluation of clinical mastitis traits in Holstein cattle. Czech J Anim Sci 2018;63:443-51. https://doi.org/10.17221/105/2018-CJAS
  6. Wolf J, Wolfova M, Stipkova M. A model for the genetic evaluation of number of clinical mastitis cases per lactation in Czech Holstein cows. J Dairy Sci 2010;93:1193-204. https://doi.org/10.3168/jds.2009-2443
  7. Zavadilova L, Wolf J, Stipkova M, Nemcova E, Jamrozik J. Genetic parameters for somatic cell score in the first three lactations of Czech Holstein and Fleckvieh breeds using a random regression model. Czech J Anim Sci 2011;56:251-60. https://doi.org/10.17221/1286-cjas
  8. Romano GS, Pinto LFB, Valloto AA, Horst JA, Pedrosa VB. Genetic parameters between somatic cell score and production traits for Holstein cattle in Southern Brazil. Rev Colomb Cienc Pecu 2020;33:60-70. https://doi.org/10.17533/udea.rccp.v32n4a06
  9. Zhang H, Wei Y, Zhang F, et al. Polymorphisms of mannose-binding lectin-associated serine protease 1 (MASP1) and its relationship with milk performance traits and complement activity in Chinese Holstein cattle. Res Vet Sci 2019;124:346-51. https://doi.org/10.1016/j.rvsc.2019.04.017
  10. Pokorska J, Kulaj D, Ochrem A. Impact of bovine lipocalin-2 haplotype on milk composition, somatic cell score and incidence of mastitis in Polish Holstein-Friesian cattle. J Appl Anim Res 2020;48:51-6. https://doi.org/10.1080/09712119.2020.1726354
  11. Sharma N, Sodhi SS, Kim JH, et al. Molecular cloning of lipocalin-2 into a eukaryotic vector and its expression in bovine mammary epithelial cells as a potential treatment for bovine mastitis. Turk J Biol 2016;40:55-68. https://doi.org/10.3906/biy-1501-69
  12. Li M, Gao Q, Wang M, et al. Polymorphisms in fatty acid desaturase 2 gene are associated with milk production traits in Chinese Holstein cows. Animals 2020;10:671. https://doi.org/10.3390/ani10040671
  13. Ibeagha-Awemu EM, Akwanji KA, Beaudoin F, Zhao X. Associations between variants of FADS genes and omega-3 and omega-6 milk fatty acids of Canadian Holstein cows. BMC Genet 2014;15:25. https://doi.org/10.1186/1471-2156-15-25
  14. Proskura WS, Liput M, Zaborski D, et al. The effect of polymorphism in the FADS2 gene on the fatty acid composition of bovine milk. Arch Anim Breed 2019;62:547-55. https://doi.org/10.5194/aab-62-547-2019
  15. Kirsanova E, Heringstad B, Lewandowska-Sabat A, Olsaker I. Identification of candidate genes affecting chronic subclinical mastitis in Norwegian Red cattle: combining genome-wide association study, topologically associated domains and pathway enrichment analysis. Anim Genet 2020;51:22-31. https://doi.org/10.1111/age.12886
  16. Amos W, Driscoll E, Hoffman JI. Candidate genes versus genome-wide associations: which are better for detecting genetic susceptibility to infectious disease? Proc R Soc B 2011;278:1183-8. https://doi.org/10.1098/rspb.2010.1920
  17. Pighetti GM, Elliott AA. Gene polymorphisms: the keys for marker assisted selection and unraveling core regulatory pathways for mastitis resistance. J Mammary Gland Biol Neoplasia 2011;16:421-32. https://doi.org/10.1007/s10911-011-9238-9
  18. Liu D, Chen Z, Zhang Z, et al. Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing. Asian-Australas J Anim Sci 2019;32:320-33. https://doi.org/10.5713/ajas.18.0204
  19. CSN EN ISO/IEC 17025. 2005. Conformity assessment - General requirements for the competence of testing and calibration laboratories. Prague, Czech: Czech Normalization Institute; 2005.
  20. CSN EN ISO 13366-1 (57 0531). 1998. Milk - Somatic cell count determination - Part 1: Microscopy method. Prague, Czech: Czech Normalization Institute; 1998.
  21. CSN EN ISO 13366-2 (57 0531). 2007. Milk - Somatic cell count determination - Part 2: Manual for fluoro-opto-electronic instrument operation. Prague, Czech: Czech Normalization Institute, 2007.
  22. Ardicli S, Soyudal B, Samli H, Dincel D, Balci F. Effect of STAT1, OLR1, CSN1S1, CSN1S2, and DGAT1 genes on milk yield and composition traits of Holstein breed. R Bras Zootec 2018;47:e20170247. https://doi.org/10.1590/rbz4720170247
  23. Kucerova J, Matejicek A, Jandurova OM, et al. Milk protein genes CSN1S1, CSN2, CSN3, LGB and their relation to genetic values of milk production parameters in Czech Fleckvieh. Czech J Anim Sci 2006;51:241-7. https://doi.org/10.17221/3935-cjas
  24. Medrano JF, Sharrow L. Genotyping of bovine beta-casein loci by restriction site modification of polymerase chain reaction (PCR) amplified DNA. J Dairy Sci 1991;74:282.
  25. Miluchova M, Gabor M, Trakovicka A. Analysis of Slovak Spotted breed for bovine beta casein A1 variant as risk factor for human health. Acta Bioch Pol 2013;60:799-801. https://doi.org/10.18388/abp.2013_2061
  26. Barroso A, Dunner S, Canon, J. Technical Note: Detection of bovine kappa-casein variants A, B, C, and E by means of polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP). J Anim Sci 1998;76:1535-8. https://doi.org/10.2527/1998.7661535x
  27. Strzalkowska N, Krzyzewski J, Zwierzchowski L, Ryniewicz Z. Effects of κ-casein and β-lactoglobulin loci polymorphism, cows' age, stage of lactation and somatic cell count on daily milk yield and milk composition in Polish Black-and-White cattle. Anim Sci Pap Rep 2002;20:21-35.
  28. Kuhn C, Thaller G, Winter A, et al. Evidence for multiple alleles at the DGAT1 locus better explains a quantitative trait locus with major effect on milk fat content in cattle. Genetics 2004;167:1873-81. https://doi.org/10.1534/genetics.103.022749
  29. Buchanan FC, Fitzsimmons CJ, van Kessel AG, Thue TD, Winkelman-Sim DC, Schmutz SM. Association of a missense mutation in the bovine leptin gene with carcass fat content and leptin mRNA levels. Genet Sel Evol 2002;34:105. https://doi.org/10.1186/1297-9686-34-1-105
  30. Roy R, Ordovas L, Zaragosa P, et al. Association of polymorphisms in the bovine FASN gene with the milk-fat content. Anim Genet 2006;37:215-8. https://doi.org/10.1111/j.1365-2052.2006.01434.x
  31. Inostroza KB, Scheuermann ES, Sepulveda NA. Stearoyl CoA desaturase and fatty acid synthase gene polymorphisms and milk fatty acid composition in Chilean Black Friesian cows. Rev Colomb Cienc Pec 2013;26:263-9.
  32. Littlejohn MD, Tiplady K, Lopdell T, et al. Expression variants of the lipogenic AGPAT6 gene affect diverse milk composition phenothypes in Bos taurus. Plos One 2014;9:e85757. https://doi.org/10.1371/journal.pone.0085757
  33. Ali AKA, Shook GE. An optimum transformation for somatic cells concentration in milk. J Dairy Sci 1980;63:487-490. https://doi.org/10.3168/jds.S0022-0302(80)82959-6
  34. Shook GE. Approaches to summarizing somatic cell count which improve interpretability. 21st Annual Meeting of the National Mastitis Council: Louisville, KY, USA; 1982. pp. 1-17.
  35. Reneau JK, Appleman RD, Steuernagel GR, Mudge JW. Somatic cell count. An effective tool in controlling mastitis. Agricultural Extension Service, University of Minnesota, AG-FO-0447, 1983:1988.
  36. Reneau JK. Effective use of dairy herd improvement somatic cell counts in mastitis control. J Dairy Sci 1986;69:1708-20. https://doi.org/10.3168/jds.S0022-0302(86)80590-2
  37. Raubertas JK, Shook GE. Relationship between lactation measures of somatic cell content and milk yield. J Dairy Sci 1982;65:419-425. https://doi.org/10.3168/jds.S0022-0302(82)82207-8
  38. Wiggans GR, Shook GE. A lactation measure of somatic cell count. J Dairy Sci 1987;70:2666-72. https://doi.org/10.3168/jds.S0022-0302(87)80337-5
  39. Ghasemi Z, Aslaminejad AA, Tahmoorespur M, Rokouei M, Faraji Arough H. Association of somatic cell score with production traits in Iranian Holstein cows. Iranian J Appl Anim Sci 2013;3:491-5.
  40. Chegini A, Ghavi Hossein-Zadeh N, Hosseini-Moghadam H, Shadparvar AA. Effect of static cell count on milk fat and protein in different parities and stages of lactation in Holstein cows. Acta Agric Slov 2017;110:37-45. https://doi.org/10.14720/aas.2017.110.1.5
  41. Costa A, Lopez-Villalobos N, Visentin G, De Marchi M, Cassandro M, Penasa M. Heritability and repeatability of milk lactose and its relationships with traditional milk traits, somatic cell score and freezing point in Holstein cows. Animal 2019;13:909-16. https://doi.org/10.1017/S1751731118002094
  42. Costa A, Fuerst-Waltl B, Fuerst C, Meszaros G, Penasa M, Solkner J. Genetic association between somatic cell score and milk lactose in early- to mid-lactation of first carving Fleckvieh cows. J Central Eur Agric 2018;19:791-7. https://doi.org/10.5513/JCEA01/19.4.2347
  43. Haynes W. Tukey's Test. In: Dubitzky W, Wolkenhauer O, Cho KH, Yokota H, editors. Encyclopedia of Systems Biology. New York, USA: Springer-Verlag; 2013.
  44. Sanders K, Bennewitz J, Reinsch N, et al. Characterization of the DGAT1 mutations and the CSN1S1 promoter in the German Angeln dairy cattle population. J Dairy Sci 2006;89:3164-3174. https://doi.org/10.3168/jds.S0022-0302(06)72590-5
  45. Mao YJ, Chen RJ, Chang LL, et al. Effects of SCD1- and DGAT1-genes on production traits of Chinese Holstein cows located in the Delta Region of Yangtze River. Livest Sci 2012; 145:280-6. https://doi.org/10.1016/j.livsci.2011.12.019
  46. Momke S, Brade W, Distl O. Co-segregation of quantitative trait loci (QTL) for milk production traits and length of productive life with QTL for left-sided displacement of the abomasum in German Holstein dairy cows. Livest Sci 2011; 140:149-54. https://doi.org/10.1016/j.livsci.2011.03.001
  47. Viale E, Tiezzi F, Maretto F, De Marchi M, Penasa M, Cassandro M. Association of candidate gene polymorphisms with milk technological traits, yield, composition, and somatic cell score in Italian Holstein-Friesian sires. J Dairy Sci 2017;100:7271-81. https://doi.org/10.3168/jds.2017-12666
  48. Dusza M, Pokorska J, Makulska J, Kulaj D, Cupial M. L-selectin gene polymorphism and its association with clinical mastitis, somatic cell score, and milk production in Polish Holstein-Friesian cattle. Czech J Anim Sci 2018;63:256-62. https://doi.org/10.17221/96/2017-CJAS
  49. Erdem H, Atasever S, Kul E. Some environmental factors affecting somatic cell count of Holstein cows. J Appl Anim Res 2007;32:173-76. https://doi.org/10.1080/09712119.2007.9706871
  50. Dobranic V, Njari B, Samardzija M, Miokovic B, Resanovic R. The influence of the season on the chemical composition and the somatic cell count of bulk tank cow's milk. Vet Arch 2008;78:235-42.
  51. Arsoy HD. The effect of year, month, region, and herd size on bulk tank somatic cell and standard plate count, and the determination of optimum herd size in the intensive Holstein Friesian dairy farms in the Turkish republic of cyprus. Turkish J Vet Anim Sci 2020;44:1232-42. https://doi.org/10.3906/vet-2005-124
  52. Fedotov SV, Belozertseva NS, Udalov GM. Peculiarities of protein composition of milk of black-motley cows with subclinical mastitis (in Russian). Veterinariya 2018;Issue 2:34-7.
  53. Costa A, Egger-Danner C, Meszaros G, et al. Genetic associations of lactose and its ratios to other milk solids with health traits in Austrian Fleckvieh cows. J Dairy Sci 2019;102:4238-48. https://doi.org/10.3168/jds.2018-15883
  54. Costa A, Lopez-Villalobos N, Sneddon NW, et al. Invited review: Milk lactose - Current status and future challenges in dairy cattle. J Dairy Sci 2019;102:5883-98. https://doi.org/10.3168/jds.2018-15955